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NVIDIA's 5 Key Multimodal RAG Capabilities

NVIDIA's 5 Key Multimodal RAG Capabilities

NVIDIA Developer Blog introduces 5 essential multimodal RAG capabilities for building AI-ready knowledge systems. These handle complex enterprise data spanning text, tables, charts, graphs, images, diagrams, scanned pages, forms, and metadata. RAG grounds LLMs in real-world documents like financial reports, engineering manuals, and legal files.

NVIDIA Developer BlogOfficialFeb 17#multimodal-data#enterprise-rag#knowledge-systems
Kling AI Becomes Kuaishou’s Growth Engine

Kling AI Becomes Kuaishou’s Growth Engine

Kling AI generated more than RMB 850 million in Q2 revenue, up 240% year over year, making it the standout growth driver in Kuaishou’s otherwise slowing business. Kuaishou is prioritizing AI investment, spinning Kling AI out for independent financing at an implied valuation of US$18 billion despite near-term profit pressure.

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus is pursuing mass production of advanced 2nm semiconductors through a large-scale Japanese national project. Instead of matching TSMC’s scale, the company plans to compete with RUMS, an integrated one-building production model designed for diverse, lower-volume manufacturing.

ITmedia AI+ (日本)Media1h ago#2nm#semiconductors#chip-manufacturing